A BIM-based automated design and generation method for asphalt pavement structure combination

Abstract

This application discloses a BIM-based automated design generation method for asphalt pavement structure combinations, comprising: constructing a rule base for asphalt pavement structure combination design schemes; automatically generating initial design schemes for pavement structure combinations based on the rule base; constructing a parametric model of the pavement structure based on BIM; establishing a data interaction module between the BIM model and simulation analysis software; analyzing and calculating the current pavement structure in the simulation analysis software to obtain response results; verifying the pavement structure design scheme based on BIM; analyzing and evaluating performance and economic indicators based on BIM; automatically generating the next set of schemes, iteratively optimizing to obtain a set of non-dominated solutions; and selecting the most suitable scheme for modeling. This application aims to achieve automatic generation, design, verification, and evaluation of road structure combinations in a BIM environment, helping designers explore the optimal road structure combination design schemes and improving design efficiency and quality.

Description

Technical Field

[0001] This invention relates to the field of road traffic technology, specifically to a method for automated design and generation of asphalt pavement structure combinations based on BIM. Background Technology

[0002] Asphalt pavement is the most common pavement structure in my country, and its structural design directly affects its performance and service life. Properly designing the location, materials, and thickness of each structural layer is crucial for extending the service life of asphalt pavement, preventing early-stage damage, and improving the overall life-cycle benefits of roads. Traditional pavement structure design schemes based on subjective decisions by designers rely heavily on experience and knowledge, making it prone to convergence and difficult to achieve the optimal pavement structure combination.

[0003] In recent years, the rapid development of computer information technology has provided more efficient and convenient technical approaches and tools for road design. Among these, the application and promotion of BIM technology in the road sector has provided a collaborative and integrated platform environment for road design. However, due to the lack of pavement structure analysis and verification functions in BIM, the combined design of road structures, a crucial link directly related to the quality of road construction, cannot currently be directly implemented within the BIM platform. Furthermore, as an important carrier of digital information, BIM can integrate and fuse advanced intelligent technologies, possessing broad development potential and application prospects in design exploration and automated operations. Automated pavement structure design, as a vital part of the intelligent road design process, can help explore more design possibilities, greatly improving design efficiency and quality; however, there is currently little related exploration and research in this area. Summary of the Invention

[0004] Technical problems solved: This invention addresses the problems in existing technologies that rely heavily on human experience and knowledge, leading to design schemes that tend to converge and making it difficult to obtain the optimal pavement structure combination. It also addresses the lack of pavement structure analysis and verification functions in BIM, which cannot currently be directly implemented within the BIM platform. The invention provides an automated design generation method for asphalt pavement structure combinations based on BIM, enabling automatic generation, design verification, and evaluation of road structure combinations within a BIM environment. This enriches and improves the functions of BIM in pavement structure design, helping designers explore the optimal road structure combination design scheme. It can significantly improve design efficiency and quality while reducing manual design costs and investment.

[0005] Technical solution:

[0006] A method for automated design and generation of BIM-based asphalt pavement structure combinations includes the following steps:

[0007] S1. Construct a rule library for combined design schemes of asphalt pavement structures;

[0008] S2. Based on the rule base in step S1, use the automatic generation optimization algorithm to automatically generate asphalt pavement structure combination design scheme;

[0009] S3. Construct a parametric asphalt pavement structure combination model in BIM, and adjust and update the pavement structure information model in real time according to the pavement design parameters in the pavement structure combination design scheme.

[0010] S4. Based on BIM, conduct secondary development to establish a data interaction module between the BIM model and simulation analysis software;

[0011] S5. Calculate the mechanical response of the current pavement structure in the simulation analysis software to obtain the pavement structure response results;

[0012] S6. Import the results into BIM and verify the pavement structure design scheme;

[0013] S7. For the pavement structure combination design schemes that have passed the verification in step S6, conduct analysis and evaluation of pavement performance indicators and economic indicators.

[0014] S8. Using an automatic generation optimization algorithm, automatically generate the next set of pavement structure combination design schemes. Repeat steps S3 to S7 for iterative optimization until the number of iterations ends, and obtain the non-dominated solution set of pavement structure combination design schemes.

[0015] S9. From the set of non-inferior solutions of the pavement structure combination design scheme, select the most suitable design scheme and establish the final parametric model of the pavement structure.

[0016] As a preferred technical solution of the present invention: In S1, the construction principle of the rule library for asphalt pavement structure combination design scheme is: based on the region where the designed road is located, by investigating the commonly used asphalt pavement structure combination schemes in historical highway and expressway engineering cases in the region, taking into account the applicability and economy of the pavement structure combination, and after preliminary sorting and summarizing by technical personnel, the rule library is finally determined; the specific contents of the constraints in the rule library include, but are not limited to: (1) the pavement structure combination forms that are allowed to be used; (2) the thickness range of each pavement structural layer that is allowed to be used; (3) the material types and corresponding material parameters used in each pavement structural layer that are allowed to be used.

[0017] As a preferred technical solution of the present invention: in step S2, the automatic generation optimization algorithm adopts a random generation method, and under the rule base constraints in step S1, the initial road structure combination design scheme is randomly and automatically generated.

[0018] As a preferred technical solution of the present invention: In step S4, the BIM software Revit is used to carry out secondary development using the Python scripting language to establish a data interaction module with the finite element software Abaqus. The functions implemented by this module include, but are not limited to: (1) exporting the thickness, materials used, and material modulus information of each structural layer of the pavement from the pavement structure information model to the road structure simulation analysis model in the Abaqus software; (2) importing the bottom stress, strain data and coordinate data of each structural layer of the pavement obtained by Abaqus analysis back into the pavement structure information model, so as to realize the data communication between the road structure information model data in the Revit software and the road structure simulation analysis model data in the Abaqus software.

[0019] As a preferred technical solution of the present invention: in step S5, the road structure response result data obtained by Abaqus simulation analysis includes, but is not limited to: the bottom layer stress, bottom layer strain data and corresponding position coordinate data of each structural layer of the road.

[0020] As a preferred technical solution of the present invention: in step S6, the current pavement structure is structurally verified according to the existing highway asphalt pavement design specifications. The specific verification content includes, but is not limited to: fatigue cracking verification of asphalt mixture layer, permanent deformation verification of asphalt mixture layer, and fatigue cracking verification of inorganic binder layer.

[0021] As a preferred embodiment of the present invention: in step S7, the road performance index is selected as the fatigue life N of the asphalt mixture layer. f Calculate according to formula (1):

[0022]

[0023] Where: β represents the target reliability index, which is taken as 1.65 for highway pavement structure; k a k represents the adjustment coefficient for seasonally frozen soil regions. b The fatigue loading mode coefficient is represented by equation (2), which is calculated according to equation (2):

[0024]

[0025] Where: E a VFFA represents the dynamic compression modulus of asphalt mixture at 20°C; h represents the asphalt saturation of asphalt mixture. a Indicates the thickness of the asphalt mixture in the current pavement structure design; k T1 Indicates the temperature adjustment coefficient; ε a The tensile strain at the bottom of the asphalt mixture layer is (10⁻⁶), and e represents the natural constant.

[0026] In step S7, the economic indicator E cost Calculate according to formula (3):

[0027] E cost =E M +E C (3)

[0028] Among them, E cost E represents the overall economic performance index of the current pavement structure design scheme per unit length; M E represents the material cost per unit length. C The construction cost per unit length is expressed and calculated according to formulas (4) to (5).

[0029]

[0030]

[0031] Where n represents the number of pavement structure layers; η i ξ represents the unit area cost of the materials used in structural layer i; i S represents the construction cost (including machinery and labor costs) required per unit area of ​​structural layer i; i The cross-sectional area of ​​structural layer i is represented by the structural thickness h. i The function.

[0032] As a preferred technical solution of the present invention: In step S8, firstly, based on the evaluation result of the current road combination design scheme, the current scheme is placed into the final non-dominant solution set for comparison. If the current scheme is a non-dominant solution, it is retained in the final non-dominant solution set, and all inferior solutions are removed. Then, based on all non-dominant solutions in the set, the next set of pavement structure combination design schemes is automatically generated through the three operations of selection, crossover, and mutation in the genetic algorithm. This scheme is then used as a new initial design scheme and re-introduced into steps S3 to S7 for scheme analysis and evaluation. This process is repeated to continuously generate and iteratively optimize new design schemes until the iteration count ends, resulting in the final non-dominant solution set of the pavement structure combination design scheme.

[0033] Beneficial effects:

[0034] Compared with the prior art, this application has the following advantages:

[0035] (1) This invention provides an automated generation and evaluation optimization method for asphalt pavement structure combination design schemes, which helps designers in this field to automatically optimize the best pavement structure combination form and improve the design efficiency and design quality in the pavement structure design process;

[0036] (2) This invention constructs a data interaction module between BIM software and finite element simulation analysis software, which enables real-time mechanical simulation calculation and analysis of the road structure model established in BIM, enhances the simulation analysis function of BIM software, and is conducive to promoting the in-depth research and application of BIM in the road field.

[0037] (3) This invention establishes an evaluation index for the economic efficiency of road structure combination construction based on BIM, which is used to realize real-time evaluation and analysis of the material cost and construction cost required by the current road structure combination form during construction in the design process, which helps designers to intuitively understand the cost and benefits of the current design scheme. Attached Figure Description

[0038] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments will be briefly described below. Obviously, the drawings described below only relate to some embodiments of the present invention and are not intended to limit the present invention.

[0039] Figure 1 This is a flowchart illustrating a BIM-based automated design and generation method for asphalt pavement structure combination provided in this embodiment of the application.

[0040] Figure 2 This is a schematic diagram illustrating the process of generating, verifying, and evaluating different structural combination schemes for an automated design generation method based on BIM asphalt pavement structure combination provided in the embodiments of this application. Detailed Implementation

[0041] To more clearly illustrate the technical solutions, objectives, and advantages of the embodiments of the present invention, the following description, in conjunction with the accompanying drawings, will describe an automated design and generation method for asphalt pavement structure combination based on BIM. Obviously, the described embodiments are only some embodiments of the present invention and not all embodiments. Other embodiments based on the present invention obtained by those skilled in the art without creative effort are all within the protection scope of the present invention.

[0042] Unless otherwise defined, the technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0043] Example 1

[0044] A method for automated design and generation of BIM-based asphalt pavement structure combinations includes the following steps:

[0045] S1. Construct a rule library for combined design schemes of asphalt pavement structures;

[0046] Asphalt pavement has a rich variety of pavement structure combinations and engineering examples, and the commonly used pavement structure combinations vary in different regions of China. In this step, the rule library for asphalt pavement structure combination design schemes should refer to historical engineering data of the designer's region, and based on the design traffic load level, geological characteristics, and available materials, sort out and clarify the commonly used pavement structure combination forms, the thickness range of each structural layer, the commonly used materials and material parameters of each structural layer, and construct the pavement structure combination design scheme rule library based on this principle;

[0047] In this embodiment, taking a typical asphalt pavement structure combination of asphalt mixture surface layer + inorganic mixture base course and subbase course as an example, a pavement structure combination design scheme rule base is constructed, which consists of the following rule constraints:

[0048] (1) The asphalt pavement structure combination adopts the typical pavement structure combination of surface layer, intermediate layer, lower layer, base layer, subbase layer and road base layer;

[0049] (2) Regarding the thickness range constraints of each structural layer of the road surface, the thickness h1 of the upper layer is [4,5], the thickness h2 of the middle layer is [4,8], the thickness h3 of the lower layer is [4,12], the thickness h4 of the base layer is [25,50], and the thickness h5 of the subbase layer is [15,25]; where h1 to h5 are all integers and the unit is cm.

[0050] Regarding the material range constraints for each structural layer of the road surface, the surface layer is an asphalt mixture layer, specifically the materials used in the upper, middle, and lower layers are {SMA13, SMA15, AC13, AC15, AC20}. The base and subbase layers are inorganic mixture layers, specifically the materials used are {ATB20, ATB25, inorganic binder stabilized crushed stone CTB, graded stabilized crushed stone SG}. The materials used in the road base layer are {soil, lime-fed soil}. Each material type has its own modulus parameters and value ranges.

[0051] S2. Based on the rule base for asphalt pavement structure combination design schemes constructed in step S1, the asphalt pavement structure combination design schemes are automatically generated using the automatic generation optimization algorithm NSGA-Ⅱ.

[0052] Using the NSGA-II algorithm, a road structure combination design scheme is first randomly generated from the rule base, as shown in the appendix. Figure 2In this embodiment, an initial design scheme one is randomly generated, which is as follows: top layer (thickness: 4cm; material: AC13; modulus: 9000MPa) + middle layer (thickness: 6cm; material: AC20; modulus: 12000MPa) + bottom layer (thickness: 8cm; material: AC25; modulus: 10000MPa) + base layer (thickness: 20cm; material: CTB20; modulus: 5000MPa) + subbase layer (thickness: 12cm; material: CTB25; modulus: 6000MPa) + road base layer (material: soil; modulus: 400MPa);

[0053] S3. Construct a parametric asphalt pavement structure combination model in BIM, and adjust and update the pavement structure information model in real time according to the pavement design parameters in the pavement structure combination design scheme.

[0054] In this embodiment, a pavement structure combination information model is established in the BIM software Revit, and the layer thickness and material parameters of each structural layer are bound to specific control variables to achieve parametric control and adjustment of the pavement structure model.

[0055] S4. Based on BIM, conduct secondary development to establish a data interaction module between the BIM model and simulation analysis software;

[0056] In this embodiment, a data interaction module between Revit software and finite element simulation software Abaqus is established using the Dynamo secondary development environment and Python scripting language in the BIM software Revit to achieve the following functions: (1) exporting the thickness, materials, and material modulus information of each structural layer of the pavement from the pavement structure information model to the road structure simulation analysis model in Abaqus software; (2) importing the bottom stress, strain data, and coordinate data of each structural layer of the pavement obtained by Abaqus analysis back into the pavement structure information model, thereby realizing data communication between the road structure information model data in Revit software and the road structure simulation analysis model data in Abaqus software.

[0057] S5. Calculate the mechanical response of the current pavement structure in the simulation analysis software to obtain the pavement structure response results;

[0058] This includes: the bottom stress and strain data of each structural layer of the pavement, as well as the corresponding position coordinate data; in this embodiment, mechanical simulation calculation and analysis of the initial design scheme 1 is performed using Abaqus to establish a two-dimensional structural model. The load is a double-circle uniformly distributed load with a load size of 0.7MPa. The boundary adjustment is set to be fully consolidated at the bottom and consolidated in the horizontal direction on the left and right sides. Finally, the calculation and analysis obtains the bottom tensile stress data of the asphalt mixture layer and the bottom tensile stress data of the inorganic binder layer at the load center position and the geometric center position of the double circle.

[0059] S6. Using the data interaction module of the BIM model and simulation analysis software, import the results calculated in step S5 into the BIM and verify the road structure design scheme.

[0060] In this embodiment, the initial design scheme 1 was structurally verified and analyzed in accordance with the existing highway asphalt pavement design specifications. The fatigue cracking index of the asphalt mixture layer, the permanent deformation of the asphalt mixture layer, and the fatigue cracking index of the inorganic binder layer were verified respectively. The final verification results all met the requirements of the specifications.

[0061] S7. For the pavement structure combination design schemes that have passed the verification in step S6, conduct analysis and evaluation of pavement performance indicators and economic indicators.

[0062] In this embodiment, the pavement performance index is selected as the fatigue life N of the asphalt mixture layer. f Calculate according to formula (1):

[0063]

[0064] Where: β represents the target reliability index, which is taken as 1.65 for highway pavement structure; k a k represents the adjustment coefficient for seasonally frozen soil regions. b The fatigue loading mode coefficient is represented by equation (2), which is calculated according to equation (2):

[0065]

[0066] Where: E a VFA represents the dynamic compression modulus of asphalt mixture at 20°C; h represents the asphalt saturation of asphalt mixture. a Indicates the thickness of the asphalt mixture in the current pavement structure design; k T1 Indicates the temperature adjustment coefficient; ε a Indicates the tensile strain at the bottom of the asphalt mixture layer (10 -6 e represents the natural constant;

[0067] The economic indicator used, E cost Calculate according to formula (3):

[0068] E cost =E M +E C (3)

[0069] Among them, E cost E represents the overall economic performance index of the current pavement structure design scheme per unit length; M E represents the material cost per unit length. C The construction cost per unit length is expressed and calculated according to formulas (4) to (5).

[0070]

[0071]

[0072] Where n represents the number of pavement structure layers; η i ξ represents the unit area cost of the materials used in structural layer i; i S represents the construction cost (including machinery and labor costs) required per unit area of ​​structural layer i; i The cross-sectional area of ​​structural layer i is represented by the structural thickness h. i The function;

[0073] The final result obtained through calculation is N. f =2810573832, E cost =85461; Since this is the initial design scheme, it is automatically added to the final set of non-dominated solutions;

[0074] S8. Using an automatic generation optimization algorithm, automatically generate the next set of pavement structure combination design schemes. Repeat steps S3 to S7 for iterative optimization until the number of iterations ends, and obtain the non-dominated solution set of pavement structure combination design schemes.

[0075] First, based on the evaluation results of the current road combination design scheme, the current scheme is compared with the final set of non-dominated solutions. If the current scheme is a non-dominated solution, it is retained in the final set of non-dominated solutions, and all inferior schemes are removed. Then, based on all non-dominated solutions in the set, the next set of pavement structure combination design schemes is automatically generated through selection, crossover, and mutation operations in a genetic algorithm. This new scheme is then used as the initial design scheme and re-introduced into steps S3 to S7 for analysis and evaluation. This process is repeated, continuously generating new design schemes and iteratively optimizing them until the iteration count ends, resulting in the final set of non-dominated solutions for the pavement structure combination design scheme.

[0076] In this embodiment, based on the initial design scheme one as the parent scheme, the offspring scheme, namely the pavement structure combination design scheme two, is automatically generated through genetic iteration under the constraints of the rule base. (See Appendix) Figure 2 The steps S3 to S7 are repeated to verify and evaluate the second structural combination design scheme. The final result shows that the automatically generated second structural combination design scheme does not meet the verification requirements, so the design scheme is discarded. Furthermore, based on the second structural combination design scheme as the parent scheme, the child scheme, namely the third pavement structural combination design scheme, is automatically generated. The steps S3 to S7 are repeated to verify and evaluate the third structural combination design scheme. The final result shows that the third design scheme is not superior in terms of both performance and economic indicators compared to the previously generated design scheme. Therefore, the scheme is not a non-inferior scheme and is also discarded.

[0077] Similarly, in this embodiment, the number of iterations is set to N = 1000. Therefore, within the range of the number of iterations N, design scheme i-1 is used as the parent scheme, and the child scheme, i.e., pavement structure combination design scheme i, is automatically generated under the constraints of the rule base through genetic iteration. (Refer to Appendix) Figure 2 Then repeat steps S3 to S7 to verify the structural combination design scheme i. If scheme i meets the verification requirements, further evaluate the performance index and economic index. Analyze and compare the current scheme i with all the previous non-dominated solutions. If the scheme is a non-dominated solution, add the scheme to the latest non-dominated solution set and remove the dominant solutions. Otherwise, discard the current scheme i and retain the original non-dominated solution set.

[0078] S9. From the set of non-inferior solutions of the pavement structure combination design scheme, select the most suitable design scheme and establish the final parametric model of the pavement structure.

[0079] In this embodiment, after N=1000 iterations, two non-dominated solutions for the pavement structure combination are obtained, both of which meet the verification requirements. One solution has the best performance index, and the other has the best economic index. After decision-making, this embodiment ultimately selects the solution with the best economic index as the final pavement structure combination design scheme, and models this scheme.

[0080] The examples described herein are merely preferred embodiments of the invention and are not intended to limit the concept and scope of the invention. Any modifications and improvements made by those skilled in the art to the technical solutions of the invention without departing from the design concept of the invention should fall within the protection scope of the invention.

Claims

1. A method for automated design and generation of BIM-based asphalt pavement structure combinations, characterized in that, Includes the following steps: S1. Construct a rule library for combined design schemes of asphalt pavement structures; S2. Based on the rule base in step S1, use the automatic generation algorithm to automatically generate asphalt pavement structure combination design scheme; S3. Construct a parametric asphalt pavement structure combination model in BIM, and adjust and update the pavement structure information model in real time according to the pavement design parameters in the pavement structure combination design scheme. S4. Based on BIM, conduct secondary development to establish a data interaction module between the BIM model and simulation analysis software; S5. Calculate the mechanical response of the current pavement structure in the simulation analysis software to obtain the pavement structure response results; S6. Import the results into BIM and verify the pavement structure design scheme; S7. For the pavement structure combination design schemes that have passed the verification in step S6, conduct analysis and evaluation of pavement performance indicators and economic indicators. S8. Using an automatic generation optimization algorithm, automatically generate the next set of pavement structure combination design schemes. Repeat steps S3 to S7 for iterative optimization until the number of iterations ends, and obtain the non-dominated solution set of pavement structure combination design schemes. S9. From the set of non-inferior solutions of the pavement structure combination design scheme, select the most suitable design scheme and establish the final parametric model of the pavement structure.

2. The BIM-based automated design and generation method for asphalt pavement structure combination according to claim 1, characterized in that, In S1, the construction principle of the rule library for asphalt pavement structure combination design scheme is as follows: based on the region where the designed road is located, the rule library is determined by researching the commonly used asphalt pavement structure combination schemes in historical highway and expressway engineering cases in the region, taking into account the applicability and economy of the pavement structure combination, and after preliminary sorting and summarizing by technical personnel. The specific content of the constraints in the rule library includes, but is not limited to: (1) the pavement structure combination forms that are allowed to be used; (2) the thickness range of each pavement structural layer that is allowed to be used; and (3) the material types and corresponding material parameters used in each pavement structural layer that are allowed to be used.

3. The BIM-based automated design and generation method for asphalt pavement structure combination according to claim 1, characterized in that, In step S2, the automatic optimization algorithm adopts a random generation method, and under the rule base constraints in step S1, an initial road structure combination design scheme is automatically generated.

4. The method for automated design and generation of BIM-based asphalt pavement structure combination according to claim 1, characterized in that... In step S4, based on the BIM software Revit, a secondary development is carried out using the Python scripting language to establish a data interaction module with the finite element software Abaqus. The functions implemented by this module include, but are not limited to: (1) exporting the thickness of each structural layer of the road surface, the materials used, and the material modulus information of the road surface structure information model to the road structure simulation analysis model in the Abaqus software. (2) Import the stress, strain and coordinate data of each structural layer of the road surface obtained by Abaqus analysis back into the road structure information model to realize data exchange between the road structure information model data in Revit software and the road structure simulation analysis model data in Abaqus software.

5. The BIM-based automated design and generation method for asphalt pavement structure combination according to claim 1, characterized in that, In step S5, the pavement structure response data obtained by Abaqus simulation analysis includes, but is not limited to: the bottom layer stress, bottom layer strain data, and corresponding position coordinate data of each pavement structural layer.

6. The BIM-based automated design and generation method for asphalt pavement structure combination according to claim 1, characterized in that, In step S6, the current pavement structure is structurally verified according to the existing highway asphalt pavement design specifications. The specific verification content includes, but is not limited to: fatigue cracking verification of asphalt mixture layer, permanent deformation verification of asphalt mixture layer, and fatigue cracking verification of inorganic binder layer.

7. The BIM-based automated design and generation method for asphalt pavement structure combination according to claim 1, characterized in that, In step S7, the pavement performance index is selected as the fatigue life N of the asphalt mixture layer. f Calculate according to formula (1): Where: β represents the target reliability index, which is taken as 1.65 for highway pavement structure; k a k represents the adjustment coefficient for seasonally frozen soil regions. b The fatigue loading mode coefficient is represented by equation (2), which is calculated according to equation (2): Among them: E a VFA represents the dynamic compression modulus of asphalt mixture at 20°C; h represents the asphalt saturation of asphalt mixture. a Indicates the thickness of the asphalt mixture in the current pavement structure design; k T1 Indicates the temperature adjustment coefficient; ε a Indicates the tensile strain at the bottom of the asphalt mixture layer (10). -6 ), where e represents the natural constant; In step S7, the economic indicator E cost Calculate according to formula (3): E cost =E M +E C (3) Among them, E cost E represents the overall economic performance index of the current pavement structure design scheme per unit length; M E represents the material cost per unit length. C The construction cost per unit length is expressed and calculated according to formulas (4) to (5). Where n represents the number of pavement structure layers; η i ξ represents the unit area cost of the materials used in structural layer i; i S represents the construction cost (including machinery and labor costs) required per unit area of ​​structural layer i; i The cross-sectional area of ​​structural layer i is represented by the structural thickness h. i The function.

8. The BIM-based automated design and generation method for asphalt pavement structure combination according to claim 1, characterized in that, In step S8, firstly, based on the evaluation results of the current road combination design scheme, the current scheme is placed into the final set of non-dominated solutions for comparison. If the current scheme is a non-dominated solution, it is retained in the final set of non-dominated solutions, and all inferior schemes are removed. Then, based on all non-dominated solutions in the set, the next set of pavement structure combination design schemes is automatically generated through the selection, crossover, and mutation operations in the genetic algorithm. This scheme is then used as a new initial design scheme and re-introduced into steps S3 to S7 for analysis and evaluation. This process is repeated, continuously generating and iteratively optimizing new design schemes until the iteration count ends, resulting in the final set of non-dominated solutions for the pavement structure combination design schemes.

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